e9c5be365179c1ffe32c0dfb7c8dc3d589a07b04,skmultiflow/classification/lazy/knn_adwin.py,KNNAdwin,partial_fit,#KNNAdwin#Any#Any#Any#,16

Before Change

    def partial_fit(self, X, y, classes=None):
        r, c = 1, 1
        if isinstance(X, type([])):
            if isinstance(X[0], type([])):
                r, c = len(X), len(X[0])
            else:
                c = len(X)
        elif isinstance(X, type(np.array([0]))):
            if hasattr(X, "shape"):
                r, c = X.shape
            elif hasattr(X, "size"):
                r, c = 1, X.size
        if self.window is None:
            // self.window = InstanceWindow(max_size=2000)
            self.window = InstanceWindow(max_size=self.max_window_size)
        for i in range(r):

After Change

    def partial_fit(self, X, y, classes=None):
        r, c = get_dimensions(X)
        if self.window is None:
            // self.window = InstanceWindow(max_size=2000)
            self.window = InstanceWindow(max_size=self.max_window_size)
        for i in range(r):

Instances